AI Forward Deployed Engineer (FDE)

An engineer who works within, or very close to, a client organization to turn operational needs into applied AI systems. The role combines contextual diagnosis, agentic-workflow design, integration with existing data and systems, evaluation, and adaptation to the real operating environment.

Proximity speeds learning and narrows the gap between requirement and implementation, but it requires architectural judgment. A delivery that couples critical processes to one vendor can limit optionality, raise migration cost, and move essential knowledge outside the team. An FDE should build durable client capability through contracts, documentation, and metrics that outlast the engagement.